Level

Zendesk

Senior Manager, Growth Analytics

AI in this role

Lead a growth analytics team supporting product-led growth initiatives while leveraging AI-assisted tools for analysis.

pythonsql
growth-analyticsproduct-analyticsleadershipa-b-testingdata-modelingai-tools

Job Description

Senior Manager, Growth Analytics


Zendesk is looking for a Senior Manager, Growth Analytics to help Product Development improve how customers discover, adopt, and expand their use of Zendesk through a product-led growth motion. You will lead a team of analysts and serve as a strategic analytics partner to PLG Product Managers and Engineers across the customer journey, from acquisition and trial through activation, conversion, retention, and expansion. The role is hands-on enough to engage deeply with complex questions and senior enough to shape the analytics strategy, operating model, and capabilities that enable Product teams to make better decisions at scale.


What you’ll be doing

  • Help leaders understand where the PLG journey is performing well, where customers encounter friction, and which opportunities are most likely to improve customer and business outcomes.
  • Build effective working relationships across Sales, Marketing, Product, Engineering, and Data teams to drive self-service bookings, net customer growth and AI penetration.
  • Partner with PLG Product Managers and Engineers to define business questions, measurable hypotheses, product goals, and success metrics.
  • Lead and develop a team of growth analysts by setting priorities, providing coaching, and supporting career growth.
  • Establish and evolve measurement for the PLG funnel, including acquisition, trial engagement, activation, conversion, retention, expansion, and customer value.
  • Analyze customer behavior using segmentation, cohort, funnel, retention, and experimentation methods to identify opportunities and barriers to growth.
  • Design measurement plans for product initiatives and experiments, including success metrics, guardrails, instrumentation requirements, and interpretation of results.
  • Improve the quality and consistency of product analytics through trusted metric definitions, event tracking, reusable datasets, dashboards, and self-service reporting.
  • Use AI-assisted tools to accelerate analysis, reporting, SQL and Python development, data modeling, and documentation while applying sound judgment to validate and improve the results.

What you bring to the role

  • Significant experience in product analytics, growth analytics, business intelligence, data science, product operations, or a related field, ideally in a software or SaaS environment with a product-led or self-service motion.
  • Experience designing, measuring, or interpreting product experiments and A/B tests, with an understanding of statistical concepts and causal reasoning.
  • Strong SQL skills and experience working with complex data across multiple sources.
  • Experience using Python, R, or another language for statistical analysis or data preparation.
  • Experience with Snowflake, dbt, or comparable modern data platforms is helpful.
  • Ability to define meaningful metrics and measurement plans in partnership with Product and Engineering, including familiarity with product instrumentation and event data. 
  • Experience building or guiding dashboards, self-service reporting, semantic or metric layers, and other reusable analytics assets. Familiarity with tools such as Looker, Tableau, Amplitude, Pendo, Segment or similar platforms is useful.
  • Strong written, verbal, and visual communication skills, including the ability to explain complex findings, make recommendations, and tailor a message for technical and non-technical audiences.

The US annualized base salary range for this position is $172,000.00-$258,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

How we rate this

Senior Manager, Growth Analytics at Zendesk rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Growth AnalyticsProduct AnalyticsLeadershipA B TestingData ModelingAI ToolsPythonSQL

Questions you could be asked

  1. Tell me about a project where growth analytics was part of your work. What did you do?
  2. Tell me about a project where product analytics was part of your work. What did you do?
  3. Tell me about a project where leadership was part of your work. What did you do?
  4. Tell me about a project where a b testing was part of your work. What did you do?
  5. Tell me about a project where data modeling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Growth Analytics, Product Analytics, Leadership, A B Testing, and Data Modeling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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